Energy transition strategies in Portugal: wind and solar externalities on municipalities housing prices

Purpose This paper aims to investigate the impact of wind and solar farms on housing prices in Portugal to better understand their role in shaping social acceptance. Design/methodology/approach Fixed-effects models with Driscoll–Kraay standard errors are estimated using municipal-level panel data for 177 municipalities from 2011 to 2022. Renewable energy deployment is captured through three measures: presence, number of farms and installed capacity (MW) of wind and solar power. Findings Results indicate that wind farms generally do not affect housing prices. However, for each additional MW of installed wind capacity, the median housing price decreases, on average, by €1.11/m2. By contrast, solar farms are linked to higher housing values, with municipalities hosting solar farms exhibiting average housing prices €28.51/m2 above those without. Practical implications Findings highlight the importance of accounting for housing market externalities in renewable energy planning to foster social acceptance and improve policy design. Originality/value This study examines how wind and solar energy projects may affect housing markets in Portugal, a country simultaneously leading the energy transition and experiencing sharp increases in housing prices. It also contributes methodologically by using municipal-level aggregated data, providing a broader perspective than studies focused on micro-level or property-specific data.

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Publication Details

Journal
International Journal of Housing Markets and Analysis
Published
2026-01-08
DOI
https://doi.org/10.1108/ijhma-08-2025-0190
Primary Topic
Social Acceptance of Renewable Energy
Type
article
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article

Energy transition strategies in Portugal: wind and solar externalities on municipalities housing prices

Anabela Botelho, Edimar Ramalho, Kouassi Isaac Hayaka, Tiago Miguel et al.
International Journal of Housing Markets and Analysis
Social Acceptance of Renewable Energy
article

Energy transition strategies in Portugal: wind and solar externalities on municipalities housing prices

Anabela Botelho, Edimar Ramalho, Kouassi Isaac Hayaka, Tiago Miguel, Mara Madaleno, Fátima Lima, Mónica Meireles, Marta Ferreira Dias
article en

Abstract

Purpose This paper aims to investigate the impact of wind and solar farms on housing prices in Portugal to better understand their role in shaping social acceptance. Design/methodology/approach Fixed-effects models with Driscoll–Kraay standard errors are estimated using municipal-level panel data for 177 municipalities from 2011 to 2022. Renewable energy deployment is captured through three measures: presence, number of farms and installed capacity (MW) of wind and solar power. Findings Results indicate that wind farms generally do not affect housing prices. However, for each additional MW of installed wind capacity, the median housing price decreases, on average, by €1.11/m2. By contrast, solar farms are linked to higher housing values, with municipalities hosting solar farms exhibiting average housing prices €28.51/m2 above those without. Practical implications Findings highlight the importance of accounting for housing market externalities in renewable energy planning to foster social acceptance and improve policy design. Originality/value This study examines how wind and solar energy projects may affect housing markets in Portugal, a country simultaneously leading the energy transition and experiencing sharp increases in housing prices. It also contributes methodologically by using municipal-level aggregated data, providing a broader perspective than studies focused on micro-level or property-specific data.

International Journal of Housing Markets and AnalysisVol. 19(7)
University of Aveiro (PT)
Affordable and clean energy
Openalex Percentile: Top 94%
Social Acceptance of Renewable Energy
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Energy transition strategies in Portugal: wind and solar externalities on municipalities housing prices — Anabela Botelho, Edimar Ramalho, et al. · International Journal of Housing Markets and Analysis (2026) | TGRS Research Map | TGRS